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- W4234820194 abstract "To deal with the problem of anomaly detection in multi UAVs formation, and simplify the complexity of hypothesis testing or probability inequalities, the anomaly detection problem can be transformed to identify some unknown parameters process. To avoid a statistical description of measurement noise, a worthwhile alternative is the bounded noise characterisation. In the presence of bounded noise, the projection algorithm with dead zone and its modified form are proposed to identify the unknown parameters, such that the robustness of projection algorithm can be enhanced by increasing a dead zone. Furthermore, dynamic programming technique is introduced to balance the desire for lower present cost with the undesirability of high future cost in determining the anomaly detector, then the cost of collecting new observations and the higher probability of accepting the wrong hypothesis can be compensated. A numerical example illustrates the characteristics of the anomaly detection problem." @default.
- W4234820194 created "2022-05-12" @default.
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- W4234820194 date "2019-01-01" @default.
- W4234820194 modified "2023-09-25" @default.
- W4234820194 title "Combining recursive projection and dynamic programming technique in multi UAVs formation anomaly detection" @default.
- W4234820194 doi "https://doi.org/10.1504/ijmic.2019.096837" @default.
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